Fusion of remotely sensed infrared and visible images using Shearlet transform and backtracking search algorithm

Kurban T.

International Journal of Remote Sensing, vol.42, no.13, pp.5091-5108, 2021 (SCI-Expanded, Scopus) identifier

  • Publication Type: Article / Article
  • Volume: 42 Issue: 13
  • Publication Date: 2021
  • Doi Number: 10.1080/01431161.2021.1910370
  • Journal Name: International Journal of Remote Sensing
  • Journal Indexes: Science Citation Index Expanded (SCI-EXPANDED), Scopus, Academic Search Premier, PASCAL, Aerospace Database, Applied Science & Technology Source, Aqualine, Aquatic Science & Fisheries Abstracts (ASFA), Artic & Antarctic Regions, BIOSIS, CAB Abstracts, Communication Abstracts, Compendex, Computer & Applied Sciences, Environment Index, Geobase, INSPEC, Metadex, Pollution Abstracts, Public Affairs Index, Veterinary Science Database, DIALNET, Civil Engineering Abstracts
  • Page Numbers: pp.5091-5108
  • Ankara Yıldırım Beyazıt University Affiliated: No

Abstract

Information provided from a single spectral band of a satellite image, may not be sufficient in most cases for classification, recognition and change detection applications. Therefore, bands with different spectral and spatial characteristics are combined to obtain a single fused image that contains complementary information. This study introduces a novel hybrid fusion method for remotely sensed infrared and visible images based on backtracking search algorithm (BSA) and Shearlet transform. Shearlet is an efficient processing method to transform spatial information and BSA is a powerful metaheuristic optimization method. Combining these techniques offers an efficient way to fuse low-resolution infrared and high-resolution panchromatic bands of satellite images. Extensive experiments proved that proposed method outperforms well-known multi-scale transforms based fusion methods in terms of both numerical and visual evaluations.